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feat: add Jetson contributor validation path

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This commit is contained in:
Joseph Magly
2026-08-21 20:12:35 -04:00
parent 1e870ccee0
commit 06e80af7b6
23 changed files with 1128 additions and 30 deletions
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docs/conditional-testing.md
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@@ -70,21 +70,28 @@ probes.
For an operator run on the labeled machine:
```bash
uv sync --locked --extra dev
uv sync --locked --extra dev --extra quantization
CUDA_TORCH_VERSION="$(.venv/bin/python -c \
'import torch; print(torch.__version__.split("+", 1)[0])')"
UV_TORCH_BACKEND=cu130 uv pip install --python .venv/bin/python \
--reinstall-package torch "torch==$CUDA_TORCH_VERSION"
uv pip check --python .venv/bin/python
uv run --extra dev python scripts/run_conditional_gate.py cuda-runtime
uv run --extra dev python scripts/run_conditional_gate.py bitsandbytes-runtime
uv run --extra dev --extra quantization python scripts/run_conditional_gate.py cuda-runtime
uv run --extra dev --extra quantization python scripts/run_conditional_gate.py bitsandbytes-runtime
```
Jetson CUDA support is tracked separately from this generic x64 CUDA lane. A
generic Linux ARM build can prove package portability, but it does not prove
Jetson GPU support because Jetson depends on a JetPack/L4T-matched CUDA, cuDNN,
and PyTorch runtime. The support plan, recommended container path, and acceptance
criteria are documented in [NVIDIA Jetson support plan](platforms/jetson.md).
Jetson CUDA support is tracked separately from this generic x64 CUDA lane. The
mandatory `Linux ARM64 preflight` uses GitHub's hosted `ubuntu-24.04-arm` runner
to prove locked CPU packaging, imports, CLI startup, and Jetson tooling contracts.
It is not GPU evidence. Jetson depends on a JetPack/L4T-matched CUDA, cuDNN, and
PyTorch runtime.
Physical testing uses only a trusted manual dispatch on the labels `self-hosted`,
`linux`, `ARM64`, and `jetson`. The job preserves NVIDIA's vendor PyTorch, runs
`jetson-runtime`, and uploads the sanitized `conditional-jetson-<run-attempt>`
artifact for 30 days. It never runs for a pull request, schedule, or release.
Contributor bootstrap, runner isolation, reporting commands, and acceptance
criteria are documented in the [NVIDIA Jetson support plan](platforms/jetson.md).
## Apple MPS and MLX